Data Architect Jobs

At Trane TechnologiesTM and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what’s possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

Job Summary

The primary function of the Data Architect is to design data infrastructure to extract and organize data for authorized individuals to access. The duties include architectural guidance, technical recommendations and transition strategies that support the development of data products and advanced analytics systems using programming languages and tools like Hive, Impala (Cloudera), Elasticsearch (AWS), BigQuery, Cloud Data Fusion (GCP), Oracle, Alteryx, and Tableau.

Our Data Architects must be able to work in a hybrid environment, maintaining their traditional skill set for on-premises data, and manage our cloud data environments. The focus is to provide data and application architectural solutions from strategy through implementation while playing a lead role on projects and aligning with the overall data management strategies.

Responsibilities

• Define the process to establish and maintain cross-organizational and cross domain data governance standards.
• Meet project and architecture financial objectives by forecasting resource needs, estimate build timelines, analyzing environment usage, and initiate corrective actions.
• Collaborate with other teams within the organization to devise and implement data strategies, build models, and assess shareholder needs and goals.
• Improve architecture by tracking emerging technologies and evaluate their applicability to business goals and operational requirements.
• Develop and establish standards for modeling, stored procedures, replication, regulations, and security, among others, to meet technical and business goals.
• Ensures data quality and controls are in place to support all data patterns and processes.
• Establish standards and best practices for data and analytics products and define reference architecture that others can follow to create and improve data systems.
• Design and develop high volume data ingestion components and ETL/ELT solutions to collect data from various internal and external sources.
• Translate business requirements into databases, data warehouses, and data streams.
• Define data architecture vision, strategy, principles, and standards using industry-accepted data architecture principles.
• Recommend data governance processes, security standards, and models that will provide architectural guidelines to support development initiatives.
• Evaluate and establish innovative design patterns which work in a hybrid on premises and cloud-based environment.
• Provide support on use of common enterprise information models and promote their use and enhancement by new projects.

Qualifications:

• Hands-on technical experience using data warehouse, business intelligence and analytics products
• Working knowledge of designing architectures for large volume real time data streams and component services
• Significant experience with on-prem and cloud data warehouse AWS/GCP technologies and complex data architecture and data models
• Proven success in creating and maintaining end to end data architectures
• Excellent communication and facilitation skills
• Attention to detail, and a commitment to quality work
• Proven history working with developers, architects, and cross-functional business stakeholders in both technical and functional disciplines
• Experience working in a matrixed organization.
• Strong access modeling/SQL Query skills leaning towards the physical data modeling practice a plus.
• Team oriented with excellent collaboration skills and leadership qualities

Experience

• 5+ years relevant technical and project management experience
• 5+ years of experience working with data & analytics concepts such as Logical & Physical data modeling, SQL & Data Access Optimization, ETL, ELT, reporting and report building, data visualization, data lineage, data importing & exporting, and data warehousing
• 5+ years of experience working with general IT concepts such as integrations, encryption, authentication & authorization, batch processing, real-time processing, CI/CD, automation
• 5+ years of demonstrated experience in Data Analytics Technology platforms and development management
• BS degree in Computer Science, Information Systems, or related field experience (Master’s degree a plus)

We offer competitive compensation and comprehensive benefits and programs that help our employees thrive in both their professional and personal lives. We are proud of our winning culture which is inclusive and respectful at its core. We share passion for serving customers, caring for others, and boldly challenging what’s possible for a sustainable world.

Target Base Compensation Range is $115,000 - $155,000 annually. Total compensation for this role also will include an incentive plan.

• Disclaimer: This base salary range is based on US national averages. Actual base pay could be a result of seniority, merit, geographic location where the work is performed.

If you share our passion for inspiring progress—for bringing about bold shifts in how people, economies and societies operate—then you belong with Trane Technologies Progress begins with you.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

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